When we read job descriptions of many Data Science positions, most of the time they either fall into the “Data Analysis” category or the “Machine Learning” category. While the field is promising, it can be the case of grass looking greener on the other side. And much of this crowd is the same one which went after the popular “programming” keyword in the last decade, after the famous internet boom.
Scientific regress software#
Let’s forget swimming in the data for a while!įor most of the aspirants out there, Data Science is nothing but a break from the possibly “ monotonous developer job” (though it varies from case to case basis because Software Engineering is itself a very challenging field) or any other current job. “More than anything, what data scientists do is make discoveries while swimming in data”īut do we see it happening? Making discoveries while swimming in data? In all this, I found this definition to be the most appropriate for Data Science (taken from the same HBR Article). More so, it has also become quite a buzzword in the industry recently, as many professionals with varied roles in the data field putting their job titles as “Data Scientist”, while many going after the myriad number of online as well as offline courses to quickly move to this promising field.īut very few seem to understand what exactly it is. India itself, which is a hub for talent export, expects data science openings to rise by 62% in the current year ( Times of India Article)Įveryone has their definition. And rightly so, there has been a steep rise in the demand for the right talent in the industry.
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